Skillsoft (SKIL) Operating Expenses (2019 - 2026)
Skillsoft's Operating Expenses was $94.87 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 11.6% from $107.29 million a year earlier and down 7.7% from the prior quarter.
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Analysis
Skillsoft (SKIL) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Skillsoft's Operating Expenses was $516.8 million through Jul 31, 2026, up 0.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $602.17 million, up 0.3% from FY2025.
- Operating Expenses shows a four-year compound annual growth rate of 10.3% (FY2022 to FY2026).
- In earlier fiscal years, Operating Expenses was $600.62 million in FY2025 (-30.3%), $861.85 million in FY2024 (-36.6%), $1.36 billion in FY2023 (+233.7%) and $407.34 million in FY2022.
- The fiscal Q2 2027 figure marks the lowest quarterly Operating Expenses in data going back to fiscal Q1 2023.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with an average decline of 15.8%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 103.4%); the worst was fiscal Q3 2024 (a decline of 78.8%).
- Per Business Quant data, SKIL's Operating Expenses in the three fiscal quarters before Q2 2027 was $102.8 million (Q1 2027), $155.8 million (Q4 2026) and $163.33 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Skillsoft | 54.74 Mn | -319.83 Mn | 83.10 Mn | 94.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 94.87 Mn |
| Apr 30, 2026 | 102.80 Mn |
| Jan 31, 2026 | 155.80 Mn |
| Oct 31, 2025 | 163.33 Mn |
| Jul 31, 2025 | 107.29 Mn |
| Apr 30, 2025 | 110.42 Mn |
| Jan 31, 2025 | 151.04 Mn |
| Oct 31, 2024 | 146.40 Mn |
| Jul 31, 2024 | 151.55 Mn |
| Apr 30, 2024 | 151.63 Mn |
| Jan 31, 2024 | 365.60 Mn |
| Oct 31, 2023 | 158.83 Mn |
| Jul 31, 2023 | 166.49 Mn |
| Apr 30, 2023 | 170.94 Mn |
| Jan 31, 2023 | 179.72 Mn |
| Oct 31, 2022 | 748.09 Mn |
| Jul 31, 2022 | 251.36 Mn |
| Apr 30, 2022 | 180.07 Mn |
| Jun 11, 2021 | 140.48 Mn |
| Mar 31, 2021 | 1.58 Mn |
API Access
Skillsoft Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SKIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SKIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();